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dc.contributor.authorPata, María P.
dc.contributor.authorRodríguez-Álvarez, María Xosé
dc.contributor.authorLustres-Pérez, Vicente
dc.contributor.authorFernández Pulpeiro, Eugenio
dc.contributor.authorCadarso-Suárez, Carmen
dc.date.accessioned2011-10-20T19:00:16Z
dc.date.available2011-10-20T19:00:16Z
dc.date.issued2010
dc.identifier.citationPata, María P. [et al.]. Modelling spatial patterns of distribution and abundance of mussel seed using structured additive regression models. "SORT", vol. 34, núm. 1, p. 67-78.
dc.identifier.issn1696-2281
dc.identifier.urihttp://hdl.handle.net/2099/11035
dc.description.abstractAs mussel farming depends on sources of natural mussel seed, knowledge of factors is required to regulate both the spatial distribution and abundance of this resource. These spatial patterns were modelled using Bayesian STructured Additive Regression (STAR) models for categorical data, based on a mixed-model representation. We used Bayesian penalized splines for modelling the continuous covariate effects and a Markov random field prior for estimating the spatial effects.
dc.format.extent12 p.
dc.language.isoeng
dc.publisherInstitut d'Estadística de Catalunya
dc.relation.ispartofSORT. 2010, vol. 34, núm. 1
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Matemàtiques i estadística::Estadística matemàtica
dc.subject.lcshMathematical statistics
dc.subject.otherMussel seed
dc.subject.otherBayesian structured additive regression (STAR) models
dc.subject.otherSpatial effects
dc.subject.otherBayesian P-splines
dc.titleModelling spatial patterns of distribution and abundance of mussel seed using structured additive regression models
dc.typeArticle
dc.subject.lemacEstadística matemàtica
dc.description.peerreviewedPeer Reviewed
dc.subject.ams62 Statistics::62F Parametric inference
dc.rights.accessOpen Access
local.citation.authorPata, María P.; Rodríguez-Álvarez, María Xosé; Lustres-Pérez, Vicente; Fernández Pulpeiro, Eugenio; Cadarso-Suárez, Carmen
local.citation.publicationNameSORT
local.citation.volume34
local.citation.number1
local.citation.startingPage67
local.citation.endingPage78


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